Line-field confocal optical coherence tomography coupled with artificial intelligence algorithms as tool to investigate wound healing: A prospective, randomized, single-blinded pilot study.

Journal: Journal of the European Academy of Dermatology and Venereology : JEADV
Published Date: Dec 17, 2024

Abstract

BACKGROUND: Ablative fractional photothermolysis serves as an excellent in vivo model for studying wound healing. The advent of non-invasive imaging devices, such as line-field confocal optical coherence tomography (LC-OCT), enhances this model by enabling detailed monitoring of skin wound healing over time. Additionally, artificial intelligence (AI)-based algorithms are revolutionizing the evaluation of clinical images by providing detailed analyses that are unfeasible manually.

Authors

  • Sergio Del Río-Sancho
    Laser Dermatology Consultation, Division of Dermatology and Venereology, Geneva University Hospitals, Geneva, Switzerland.
  • Stephanie Christen-Zaech
    Pediatric Dermatology Unit, Department of Dermatology & Venereology, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland.
  • David Alvarez Martinez
    Laser Dermatology Consultation, Division of Dermatology and Venereology, Geneva University Hospitals, Geneva, Switzerland.
  • Jöri Pünchera
    Laser Dermatology Consultation, Division of Dermatology and Venereology, Geneva University Hospitals, Geneva, Switzerland.
  • Stéphane Guerrier
    GSEM & Faculty of Science, University of Geneva, Geneva, Switzerland.
  • Hans J Laubach
    Laser Dermatology Consultation, Division of Dermatology and Venereology, Geneva University Hospitals, Geneva, Switzerland.

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